{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:CWBYOAT4CZ3VGXYQPOXIILOINM","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ffc021c002f8293e7e9ef359395d6449392572a77ac68b7237d155705785b5c8","cross_cats_sorted":["cs.CV","cs.RO","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-11-28T14:08:48Z","title_canon_sha256":"e01ee9d1abf0c548597c4136664931d774ec488f11875cbc2969f2c2f36eaea8"},"schema_version":"1.0","source":{"id":"2211.15327","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.15327","created_at":"2026-07-05T05:20:02Z"},{"alias_kind":"arxiv_version","alias_value":"2211.15327v1","created_at":"2026-07-05T05:20:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.15327","created_at":"2026-07-05T05:20:02Z"},{"alias_kind":"pith_short_12","alias_value":"CWBYOAT4CZ3V","created_at":"2026-07-05T05:20:02Z"},{"alias_kind":"pith_short_16","alias_value":"CWBYOAT4CZ3VGXYQ","created_at":"2026-07-05T05:20:02Z"},{"alias_kind":"pith_short_8","alias_value":"CWBYOAT4","created_at":"2026-07-05T05:20:02Z"}],"graph_snapshots":[{"event_id":"sha256:2f141c3383dd846dd0bad07e9d487c9e68eb24c35e5483b66092653ed37e0759","target":"graph","created_at":"2026-07-05T05:20:02Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2211.15327/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Purpose: Surgery scene understanding with tool-tissue interaction recognition and automatic report generation can play an important role in intra-operative guidance, decision-making and postoperative analysis in robotic surgery. However, domain shifts between different surgeries with inter and intra-patient variation and novel instruments' appearance degrade the performance of model prediction. Moreover, it requires output from multiple models, which can be computationally expensive and affect real-time performance.\n  Methodology: A multi-task learning (MTL) model is proposed for surgical repo","authors_text":"Chwee Ming Lim, Hongliang Ren, Lalithkumar Seenivasan, Mengya Xu, Mobarakol Islam","cross_cats":["cs.CV","cs.RO","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-11-28T14:08:48Z","title":"Task-Aware Asynchronous Multi-Task Model with Class Incremental Contrastive Learning for Surgical Scene Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.15327","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:c643fdfdca589b95dda3dbba94ca72dd5013344fa740321e9b22f3360cdcb48d","target":"record","created_at":"2026-07-05T05:20:02Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"ffc021c002f8293e7e9ef359395d6449392572a77ac68b7237d155705785b5c8","cross_cats_sorted":["cs.CV","cs.RO","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-11-28T14:08:48Z","title_canon_sha256":"e01ee9d1abf0c548597c4136664931d774ec488f11875cbc2969f2c2f36eaea8"},"schema_version":"1.0","source":{"id":"2211.15327","kind":"arxiv","version":1}},"canonical_sha256":"158387027c1677535f107bae842dc86b0a2b5b4a58a62615a527fe3f2d4fdac7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"158387027c1677535f107bae842dc86b0a2b5b4a58a62615a527fe3f2d4fdac7","first_computed_at":"2026-07-05T05:20:02.274149Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:20:02.274149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Eeu3u8LbHmatCkILbrBE5U/MgGnFFMyL5YcjjMQ/Qq0x0fLHtrdwznNtg7NJjkNP6jf5MpViv8xW45q2CHxTBw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:20:02.274493Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.15327","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c643fdfdca589b95dda3dbba94ca72dd5013344fa740321e9b22f3360cdcb48d","sha256:2f141c3383dd846dd0bad07e9d487c9e68eb24c35e5483b66092653ed37e0759"],"state_sha256":"6142e9718e352700f25867a969a9de7f23570143207eedaf24115697e74738b8"}